Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles

Chen, Zeyu; Xiong, Rui; Tian, Jinpeng; Shang, Xiong; Lu, Jiahuan

doi:10.1016/j.apenergy.2016.10.026

Cited by 186 publications

(63 citation statements)

References 32 publications

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“…Compared with the current and voltage dropping‐to‐zero time, the battery surface temperature keeps increasing for a longer time until approximately 35 s; in other words, the battery thermal behavior exhibits a hysteresis property. This phenomenon was also observed in previous research . The temperature monitoring points show that the measured temperatures have a consistent variation tendency, and the largest discrepancy between different monitoring points can be a few Celsius degrees.…”

Section: Resultssupporting

confidence: 88%

“…Group 2: The research focuses on the ESC fault diagnosis and prediction. Chen et al proposed a model‐based fault diagnosis algorithm, and the model predictions of cell voltage deviate from the measured values by 0.36 V at most. Xia et al proposed a diagnostic criterion, which considers the current and voltage variation as well as the temperature increase rate of the short circuit battery, to identify the inception stage of ESC faults.…”

Section: Introductionmentioning

confidence: 99%

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Electrical‐thermal behaviors of a cylindrical graphite‐NCA Li‐ion battery responding to external short circuit operation

et al. 2019

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Summary Large amount of heat generated during an external short circuit (ESC) process may cause battery safety events. An experimental platform is established to explore the battery electrothermal characteristics during ESC faults. For 18650‐type nickel cobalt aluminum (NCA) batteries, ESC fault tests of different initial state of charge (SOC) values, different external resistances, or different ambient temperatures are carried out. The test case of a smaller external resistance is characterized by a shorter ESC duration with a faster cell temperature rise, whereas the case of a larger external resistance will last for a longer duration, discharge more electricity, and terminate in a slightly higher temperature. The tested batteries of high initial SOCs generally have higher temperature rise rates, smoother changes at the output current/voltage curves, but a smaller discharged capacity. The batteries of low initial SOCs can be overdischarged by the ESC operations. At low temperatures, say 0°C, the ESC process outputs much less electricity than the process at high temperatures, eg, 30°C. The initial low temperature has little effect on reducing the battery overheat due to ESC operations. The battery thermal behavior is of hysteresis property; analysis of heat generations reveals the subsequent increase of battery surface temperature after the completion of ESC discharge is due to the battery material abusive reaction heats. It is found from analytical and numerical analyses that there can have approximately 30°C temperature difference between the battery core and its surface during ESC operations. The interruption of ESC operation is very probably caused by the high battery core temperature, which leads to the destruction of solid‐electrolyte interface (SEI) film.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Electrical‐thermal behaviors of a cylindrical graphite‐NCA Li‐ion battery responding to external short circuit operation

et al. 2019

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“…The application of lithium ion batteries in hybrid-electric vehicles and electric vehicle applications to meet the system demands of high energy and power energy storage have received much attention [1][2][3][4]. In order to serve as an appropriate power source, some series connections for a number of unit batteries are applied to increase the battery voltage and some parallel connections for raising the current capacity.…”

Section: Introductionmentioning

confidence: 99%

Field Synergy Analysis and Optimization of the Thermal Behavior of Lithium Ion Battery Packs

Jia

Huo

et al. 2017

Energies

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Abstract:In this study, a three dimensional (3D) modeling has been built for a lithium ion battery pack using the field synergy principle to obtain a better thermal distribution. In the model, the thermal behavior of the battery pack was studied by reducing the maximum temperature, improving the temperature uniformity and considering the difference between the maximum and maximum temperature of the battery pack. The method is further verified by simulation results based on different environmental temperatures and discharge rates. The thermal behavior model demonstrates that the design and cooling policy of the battery pack is crucial for optimizing the air-outlet patterns of electric vehicle power cabins.

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“…So many fault diagnosis methodologies have been presented to prevent and reverse the thermal runaway of battery system. For external short-circuit detection, Chen et al [16] presented a two-layer model-based a fault diagnosis algorithm, which can give a precise model-based diagnosis. Seo et al [17] proposed a high accuracy modelbased switching model method (SMM) to detect the internal short circuit (ISCr) in the Li-ion battery, which helping the battery management system to fulfill early detection of the ISCr.…”

Section: Introductionmentioning

confidence: 99%

Big-Data-Based Thermal Runaway Prognosis of Battery Systems for Electric Vehicles

Hong¹,

Wang²,

Liu³

2017

Preprint

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This paper presents a thermal runaway prognosis scheme based on the big-data platform and entropy method for battery systems in electric vehicles. It can simultaneously realize the diagnosis and prognosis of thermal runaway caused by the temperature fault through monitoring battery temperature during vehicular operations. A vast quantity of real-time voltage monitoring data was collected in the National Service and Management Center for Electric Vehicles (NSMC-EV) in Beijing to verify the effectiveness of the presented method. The results show that the proposed method can accurately forecast both the time and location of the temperature fault within battery packs. Furthermore, a temperature security management strategy for thermal runaway is proposed on the basis of the Z-score approach and the abnormity coefficient is set to make real-time precaution of temperature abnormity.

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Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles

Cited by 186 publications

References 32 publications

Electrical‐thermal behaviors of a cylindrical graphite‐NCA Li‐ion battery responding to external short circuit operation

Electrical‐thermal behaviors of a cylindrical graphite‐NCA Li‐ion battery responding to external short circuit operation

Field Synergy Analysis and Optimization of the Thermal Behavior of Lithium Ion Battery Packs

Big-Data-Based Thermal Runaway Prognosis of Battery Systems for Electric Vehicles

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